Version 1
: Received: 24 May 2023 / Approved: 26 May 2023 / Online: 26 May 2023 (03:38:30 CEST)
How to cite:
Rio, J.; Lopes, M.; Silva, P.; Novo, I. First Assessment of the Observed Meteorological Data in the Lousã/Seia Region in the Framework of the FireStorm Project. Preprints2023, 2023051828. https://doi.org/10.20944/preprints202305.1828.v1
Rio, J.; Lopes, M.; Silva, P.; Novo, I. First Assessment of the Observed Meteorological Data in the Lousã/Seia Region in the Framework of the FireStorm Project. Preprints 2023, 2023051828. https://doi.org/10.20944/preprints202305.1828.v1
Rio, J.; Lopes, M.; Silva, P.; Novo, I. First Assessment of the Observed Meteorological Data in the Lousã/Seia Region in the Framework of the FireStorm Project. Preprints2023, 2023051828. https://doi.org/10.20944/preprints202305.1828.v1
APA Style
Rio, J., Lopes, M., Silva, P., & Novo, I. (2023). First Assessment of the Observed Meteorological Data in the Lousã/Seia Region in the Framework of the FireStorm Project. Preprints. https://doi.org/10.20944/preprints202305.1828.v1
Chicago/Turabian Style
Rio, J., Pedro Silva and Ilda Novo. 2023 "First Assessment of the Observed Meteorological Data in the Lousã/Seia Region in the Framework of the FireStorm Project" Preprints. https://doi.org/10.20944/preprints202305.1828.v1
Abstract
In the framework of the FireStorm project, four portable weather stations were installed in the Lousã/Estrela mountain range. Given that the Portuguese Institute for Sea and Atmosphere’s sur-face network has two weather stations installed in this region, the new data allows an improved monitoring of the vertical variability of near-surface variables in this mountainous region. As most of the wildfires in mainland Portugal affect areas with complex terrain with elevations below 1200 m and major fires continue to burn overnight, it is also relevant to monitor the vertical changes of meteorological variables in the nighttime period, as these may exhibit large variability. This study provides the first assessment of the available data, with focus on the summer seasons of 2021 and 2022. The results highlight the large variability that was observed in the region and suggest that the risk of extreme fire behaviour in the nighttime period may be underestimated.
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
